AI RESEARCH
HiKEY: Hierarchical Multimodal Retrieval for Open-Domain Document Question Answering
arXiv CS.AI
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ArXi:2605.29606v1 Announce Type: new Retrieval-augmented generation (RAG) for document-based Open-domain Question Answering (ODQA) on large-scale industrial corpora faces two critical bottlenecks: routing failure in locating the correct document and evidence fragmentation in integrating scattered information. Existing approaches relying on flat text chunks or page-level images inherently struggle to (i) precisely pinpoint the target document among thousands of candidates and (ii) organically connect multimodal evidence, such as tables and figures, within a limited token budget.